claude-3-7-sonnet
vercel_ai_gateway · chat model
claude-3-7-sonnet is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$3.0000 / 1M tokens
Output
$15.0000 / 1M tokens
Cached input
$0.3000 / 1M tokens
Context
64.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $3.0000 / 1M tokens |
| Output | $15.0000 / 1M tokens |
| Cached input | $0.3000 / 1M tokens |
| Cache write | $3.7500 / 1M tokens |
| Embedding | $3.0000 / 1M tokens |
Token limits
Context window
64.0K
Max input tokens
200.0K
Max output tokens
64.0K
Max tokens
64.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | ✅ |
| Reasoning | ✅ |
| Response schema | ✅ |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| SWE-bench Verified | 70.3% | score | Base model: Claude 3.7 Sonnet (Claude 3.7 Sonnet) | 2026-05-31 | Link |
| SWE-bench Verified | 63.7% | score | Base model: Claude 3.7 Sonnet (Claude 3.7 Sonnet) | 2026-05-31 | Link |
| Aider Polyglot | 60.4% | score | Base model: Claude 3.7 Sonnet (claude-3-7-sonnet-20250219 (no thinking)) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-3-7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-sonnet-4 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 100% |
| claude-sonnet-4 OpenRouter | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Text + image covered Overall 96% |
| claude-sonnet-4.5 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 96% |
| claude-opus-4.5 vercel_ai_gateway | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 92% |
| claude-opus-4.6 vercel_ai_gateway | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 92% |
| claude-3.7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 64.0K | Same provider Overall 89% |
| anthropic.claude-sonnet-4-6 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Text + image covered Overall 89% |
| global.anthropic.claude-sonnet-4-6 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Text + image covered Overall 89% |
| claude-haiku-4.5 vercel_ai_gateway | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 87% |
| claude-opus-4 vercel_ai_gateway | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Same provider Overall 77% |
| claude-opus-4.1 vercel_ai_gateway | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Same provider Overall 77% |
| anthropic.claude-3-7-sonnet-20250219-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choicePrompt caching | 8.2K | Text + image covered Overall 76% |
| anthropic.claude-3-5-sonnet-20241022-v2:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choicePrompt caching | 8.2K | Text + image covered Overall 73% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 65% |
| anthropic.claude-3-sonnet-20240229-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 65% |
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